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Highly comparative time-series analysis

This research involves developing new methods for time-series analysis based on a new analytic framework for understanding structure in time series. more...

Supervisor(s): Fulcher, Ben (Dr)

Time-series biomarkers of neurological disorders

This research will develop a new machine learning framework for finding and quantifying patterns of brain dynamics that distinguish patients with brain disorders from healthy contro more...

Supervisor(s): Fulcher, Ben (Dr)

Real-time Low-power Neural Accelerator

This project aims at developing an Application-Specific Integrated Circuit (ASIC) for a low-power learning system processing real-time time-series data. more...

Supervisor(s): Kavehei, Omid (Dr)

Inferring the dimensionality of dynamical systems automatically using machine learning

This research will develop methods to infer the dimensionality of a dynamical system automatically, by adapting dimensionality reduction methods to high-dimensional time-series feat more...

Supervisor(s): Fulcher, Ben (Dr)

Investigating the impacts of visual arts on primary chronic pain

This project consists of a series of studies investigating the physiological, social and psychological impacts of visual arts on patients with chronic pain. more...

Supervisor(s): Pourkazemi, Fereshteh (Dr), McKay, Marnee (Dr)

Investigating the impact of pain after the first ankle on development of chronic ankle instability

This project consists of a series of longitudinal studies investigating the impact of pain on development of chronic ankle instability after an index (first) ankle sprain. more...

Supervisor(s): Pourkazemi, Fereshteh (Dr), Hiller, Claire (Dr)

Traffic Programming - Algorithms for Cooperative Behaviour among Unconnected AVs

Current AV algorithms aim to safely manoeuvre a vehicle through traffic without involving humans. These algorithms do not consider implications on the efficiency of traffic as a who more...

Supervisor(s): Levinson, David (Professor)

Predictive disease modelling using Big data analytics and Complex network methods

This research project aims to mine administrative claim dataset to develop predictive models for individual chronic disease as well as for the comorbidity of multiple chronic diseas more...

Supervisor(s): Uddin, Shahadat (Dr)

Analysis of telematics data using machine learning techniques

Usuage-based auto insurance (UBI) represents a significant evolution in automobile insurance pricing over traditional pricing as it can provide more personalised premiums based on i more...

Supervisor(s): Chan, Jennifer (Associate Professor)

UNVEILING DRIVERS AND FUTURE SCENARIOS OF THE CARBON FOOTPRINT OF GLOBAL TOURISM

This project will employ multi-region input-output analysis (Isard 1951; Leontief 1953), structural decomposition analysis and a comprehensive global database (Lenzen et al. 2012; more...

Supervisor(s): Malik, Arunima (Dr), Lenzen, Manfred (Professor)